基于远程教育网的入侵检测系统  

Intrusion Detection System Based on Distance Learning Network

作　　者：王兴邦[1] 张鹰[1] 

机构地区：[1]西华师范大学计算机科学学院

出　　处：《微型电脑应用》2007年第10期24-27,5,共4页Microcomputer Applications

基　　金：四川省教育厅重点科学科研项目基金资助(2005A109);西华师范大学校立科研项目基金资助(05A009)

摘　　要：为了保证远程教育网的安全本文设计了入侵检测系统。目前的入侵检测系统都需要花费较长的时间对收集到的信息数据进行分析才能获取到样本数据的主要特征,为了保证入侵检测的实时性本文探讨了一种在因子分析的基础上运用SVM (支持向量机)进行训练测试的基于远程教育网的入侵检测系统,并通过实验证明了该系统的可行性和有效性。In order to guarantee the security of distance learning network,the article designed a system of intrusion detection. Most of the present intrusion detection systems need much more time to analyze and obtain main characteristics of data which were collected.This article provides an intrusion detection system based on distance learning network,which was tested by SVM (Support Vector Machine) on the basis of main factor analysis.And the article has proved the feasibility and validity of this system through experiments.

关 键 词：远程教育网 网络安全 入侵检测 BP神经网络 因子分析 支持向量机 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]